An electronic differential system using fuzzy logic speed controlled in-wheel brushless DC motors
Power Engineering, Energy and Electrical Drives（2013）
Abstract
Environmental issues and running out of fossil fuels has increased the interest in electric vehicles (EV). In this paper, an EV with independent rear two-wheel drive systems is presented. Two brushless DC motors (BLDCMs) with fuzzy logic speed controller (FLSC) were used in rear wheels. Ackermann-Jeantaud steering model was employed for electronic differential (ED) system. The proposed method was simulated using Matlab/Simulink. Simulations were carried out on straight and curved roads. Simulation results show that proposed ED system operates satisfactorily.
MoreTranslated text
Key words
angular velocity control,brushless dc motors,electric vehicles,fuzzy control,machine control,steering systems,wheels,ackermann-jeantaud steering model,bldcms,ed system,ev,flsc,matlab-simulink simulation,curved roads,electronic differential system,fossil fuels,fuzzy logic speed controlled in-wheel brushless dc motors,independent rear two-wheel drive systems,straight roads,brushless motors,electronic differential,fuzzy logic,speeed control
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined